Greenhouse Talent Acquisition Suite Partners with IBM Watson

NEW YORKSept. 17, 2018  — Today, Greenhouse, the fastest-growing enterprise talent acquisition suite, and IBM are partnering together. Joint users can now harness the power of Watson to make the job search and application process more streamlined, supported by Watson Talent’s powerful analytics and search capabilities. This partnership with IBM Watson Talent, a leader in AI and cognitive HR tools, empowers talent professionals to drive candidate engagement with a personalized interactive discussion to recommend the right open roles within an organization based on exact skills, experiences and career aspirations.

Through direct integration, joint customers’ open jobs requisitions will be provided to IBM securely and they can go live in two to four weeks. This will result in an immediate improvement in the quality and quantity of applicants arriving in the Greenhouse system. Customers will experience stronger hiring team performance, which can lead to increased candidate engagement and better qualified applicants.

“Greenhouse has always seen success with companies that have high-volume hiring needs,” said Daniel Chait, Greenhouse CEO. “Our partnership and direct integration with IBM Watson marks an important innovation in our solution suite to enable customers to scale their teams while delivering an excellent candidate experience.”

Greenhouse is the fastest growing talent acquisition suite and counts over 2,600 of the most progressive companies in Talent Acquisition as customers, including Warby Parker, Airbnb and Cisco Meraki.

“Greenhouse’s clients are high growth and have a need to engage high-quality job seekers in a more personalized manner,” said Bob Schultz, General Manager, IBM Watson Talent and Collaboration Solutions. “Partnering, we’re helping Greenhouse and their customers provide an exceptional candidate experience and quickly guide job seekers to the right position with the help of AI.”

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IBM Watson Candidate Assistant, a recipient of HR Executive’s Product of the Year award for 2018, is a cognitive advisor that engages job seekers in deeper conversation about the company and recommends jobs relevant to their personality, skills and interests.

Some interesting features of IBM Watson Candidate Assistant include:

  • Chatbot: Job seekers chat with an AI virtual assistant, which can also serve up relevant job recommendations matching their skills, experience, education and interests.
  • Guided Search: Resumes are analyzed using IBM Watson to rank open positions by fit, driving the job seeker to their perfect job.
  • Candidate experience: By creating a unique experience for candidates, brands make a strong connection with prospective employees at the very outset of the hiring process.

With its emphasis on improved candidate experience, the Greenhouse and IBM Watson Talent integration benefits everyone involved in the hiring process.

“Our partnership with Greenhouse creates the ideal journey for candidate and company engagement. IBM Watson Candidate Assistant’s ability to interact and engage with potential candidates ensures an increase in role alignment and understanding of company culture to enhance both quality and quantity of applicants. Once engaged with IBM Watson Candidate Assistant, these candidates will seamlessly be able to apply for jobs within the Greenhouse ATS to help their clients identify top talent in and fill open roles in the most efficient manner.” – Andrew Hahn, Watson Talent, Head of Alliances, IBM Talent Management Solutions

IBM Watson Candidate Assistant has already seen astounding results from customers using the solution, including:

  • Reduced candidate abandonment
  • 3x increase in application conversion rate
  • 64% more likely to secure an in-person interview vs. traditional search and apply
See also  Symphony Talent Case Study for a Google Cloud Talent Implementation

Learn more about IBM Watson Candidate Assistant’s recent award win and for additional details on how Greenhouse and IBM Watson are partnering, read the blog post.


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